Digital Display Precision Predictor: the prototype of a global biomarker model to guide treatments with targeted therapy and predict progression-free survival

Digital Display Precision Predictor: the prototype of a global biomarker model to guide treatments with targeted therapy and predict progression-free survival

Abstract The expanding targeted therapy landscape requires combinatorial biomarkers for patient stratification and treatment selection. This requires simultaneous exploration of multiple genes of relevant networks to account for the complexity of mechanisms that govern drug sensitivity and predict c...

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Autores principales: Vladimir Lazar, Shai Magidi, Nicolas Girard, Alexia Savignoni, Jean-François Martini, Giorgio Massimini, Catherine Bresson, Raanan Berger, Amir Onn, Jacques Raynaud, Fanny Wunder, Ioana Berindan-Neagoe, Marina Sekacheva, Irene Braña, Josep Tabernero, Enriqueta Felip, Angel Porgador, Claudia Kleinman, Gerald Batist, Benjamin Solomon, Apostolia Maria Tsimberidou, Jean-Charles Soria, Eitan Rubin, Razelle Kurzrock, Richard L. Schilsky
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Acceso en línea:https://doaj.org/article/03d1a19c53bf406b8f14275e04c89c95
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https://doaj.org/article/03d1a19c53bf406b8f14275e04c89c95

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